Evidence map›Paper›PMID 34769310›Full record

ReviewInternational journal of molecular sciences2021

Current Approaches in Supersecondary Structures Investigation.

Vladimir R Rudnev, Liudmila I Kulikova, Kirill S Nikolsky, Kristina A Malsagova, Arthur T Kopylov, Anna L Kaysheva

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. PSSNet-An Accurate Super-Secondary Structure for Protein Segmentation.International journal of molecular sciences · 2022
    Article
  10. 3β-Corner Stability by Comparative Molecular Dynamics Simulations.International journal of molecular sciences · 2022
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Vladimir R RudnevBiobanking Group, Branch of Institute of Biomedical Chemistry "Scientific and Education Center", 109028 Moscow, Russia.
Liudmila I KulikovaBiobanking Group, Branch of Institute of Biomedical Chemistry "Scientific and Education Center", 109028 Moscow, Russia.
Kirill S NikolskyBiobanking Group, Branch of Institute of Biomedical Chemistry "Scientific and Education Center", 109028 Moscow, Russia.
Kristina A MalsagovaBiobanking Group, Branch of Institute of Biomedical Chemistry "Scientific and Education Center", 109028 Moscow, Russia.ORCID 0000-0001-9404-1660
Arthur T KopylovBiobanking Group, Branch of Institute of Biomedical Chemistry "Scientific and Education Center", 109028 Moscow, Russia.ORCID 0000-0002-7199-372X
Anna L KayshevaBiobanking Group, Branch of Institute of Biomedical Chemistry "Scientific and Education Center", 109028 Moscow, Russia.ORCID 0000-0003-4472-2016
Institute of Biomedical Chemistry · RUInstitute of Theoretical and Experimental Biophysics · RU

Funding

Russian Science Foundation 21-14-00381
6 · The paper itself

Abstract

Proteins expressed during the cell cycle determine cell function, topology, and responses to environmental influences. The development and improvement of experimental methods in the field of structural biology provide valuable information about the structure and functions of individual proteins. This work is devoted to the study of supersecondary structures of proteins and determination of their structural motifs, description of experimental methods for their detection, databases, and repositories for storage, as well as methods of molecular dynamics research. The interest in the study of supersecondary structures in proteins is due to their autonomous stability outside the protein globule, which makes it possible to study folding processes, conformational changes in protein isoforms, and aberrant proteins with high productivity.

Indexed as

Amino Acid MotifsModels, MolecularAnimalsComputational BiologyHumansProteinsProteinsdatabasesexperimental methodshelical pairsstructural motifs of proteins

Identifiers

PMID34769310
PMCPMC8584461
OpenAlexW3208142657

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.